decisiontune vs laya-cybersec: System One models compared

Q: Can I run decisiontune or laya-cybersec locally?

Yes, both: systemone pull decision-tune/decisiontune and systemone pull textcortex/laya-cybersec download the weights.

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The short version

Both have open weights you can download and run.

Both answer noul and classify questions.

Only decisiontune answers choice and route.

decisiontune reads up to 8K tokens of state, against 1K tokens for laya-cybersec.

laya-cybersec is the smaller model, at 322M parameters to 395M.

decisiontune is licensed apache-2.0; laya-cybersec, other.

Property	decision-tune/decisiontune	textcortex/laya-cybersec
Summary	DecisionTune's 395M decision model: ModernBERT-large fine-tuned with a 4 KB scoring head that scores a marker per option, answering a choice or yes/no question in one encoder pass with a probability for every option. Runs locally on CPU or GPU via PyTorch, MLX or ONNX.	Laya fine-tune that scans untrusted text (extracted files, knowledge-base documents, agent skills, tool descriptions) for prompt injection and data exfiltration in English and German, as a noul question answered in one forward pass. 322M parameters, PyTorch and ONNX.
Decides	choice, noul, route, classify	noul, classify
Architecture	decisiontune	laya
Fine-tuned from	answerdotai/modernbert-large	convaiinnovations/laya-multilingual
License	apache-2.0	Unspecified; training data includes CC BY-NC-SA 4.0 material (non-commercial), not relicensed
Availability	Open weights	Open weights
Hosted by	—	—
Input price	—	—
Decision accuracy	—	—
Calibration error	—	—
Valid action rate	—	—
Median latency	—

decision-tune/decisiontune

textcortex/laya-cybersec

Summary

DecisionTune's 395M decision model: ModernBERT-large fine-tuned with a 4 KB scoring head that scores a marker per option, answering a choice or yes/no question in one encoder pass with a probability for every option. Runs locally on CPU or GPU via PyTorch, MLX or ONNX.

Laya fine-tune that scans untrusted text (extracted files, knowledge-base documents, agent skills, tool descriptions) for prompt injection and data exfiltration in English and German, as a noul question answered in one forward pass. 322M parameters, PyTorch and ONNX.

Decides

choice, noul, route, classify

noul, classify

Architecture

decisiontune

laya

Fine-tuned from

answerdotai/modernbert-large

convaiinnovations/laya-multilingual

License

apache-2.0

Unspecified; training data includes CC BY-NC-SA 4.0 material (non-commercial), not relicensed

Availability

Open weights

Hosted by

—

Input price

—

Decision accuracy

—

Calibration error

—

Valid action rate

—

Median latency

—

Questions

What is the difference between decisiontune and laya-cybersec?

decisiontune is from DecisionTune and laya-cybersec from TextCortex. Both have open weights you can download and run. Both answer noul and classify questions. Only decisiontune answers choice and route. decisiontune reads up to 8K tokens of state, against 1K tokens for laya-cybersec. laya-cybersec is the smaller model, at 322M parameters to 395M. decisiontune is licensed apache-2.0; laya-cybersec, other.

Which is more accurate, decisiontune or laya-cybersec?

Neither publishes an accuracy figure. Test both on your own labelled examples.

Which is cheaper, decisiontune or laya-cybersec?

decisiontune: Free (open weights). laya-cybersec: Free (open weights). Open weights cost nothing per call beyond your own hardware.

Can I run decisiontune or laya-cybersec locally?

Yes, both: systemone pull decision-tune/decisiontune and systemone pull textcortex/laya-cybersec download the weights.